Publications in the Bulgarian Journal of Meteorology and Hydrology, 2019, volume 23, number 2 (print ISSN 0861-0762; online ISSN 2535-0595)
Full texts are available on the website of the Journal:
1. Satellite Information Downscaled to Urban Air Quality in Bulgaria - Project description, with authors Emilia Georgieva, Dimiter Atanassov, Tatiana Spassova, Ekaterina Batchvarova, Dimiter Syrakov, Maria Dimitrova, Roumen Nedkov, Blagorodka Veleva
Abstract: The present paper gives a general description of the project “Satellite Information Downscaled to Urban Air Quality in Bulgaria – (SIDUAQ)”, its goals, activities and expected results. The overall objective of this project is to widen the use of satellite data for studies and management of environmental issues at national level in Bulgaria and at local level for the city of Plovdiv. Satellite air quality (AQ) information has not been used for studying and solving AQ problems in Bulgaria so far, thus, the specific goal is to modify the current Bulgarian Chemical Weather Forecasting System (BgCWFS) for assimilation of satellite information and to link its output to urban scale AQ system. The current local air quality management system (LAQMS) for the city of Plovdiv will be further improved through emission inventories and expert modules for supporting the local authorities in taking decisions and measures for reducing the air pollution in the region and in the city.
Key words: air quality, satellite data assimilation, meteorological models, chemical transport models, city of Plovdiv
Total: 15 pages
2. Aerosol optical depth calculations using the Bulgarian Chemical Weather Forecast System, with authors Dimiter Syrakov, Maria Prodanova, Emilia Georgieva, Maria Dimitrova, Tatiana Spassova, Dimiter Atanassov, Blagorodka Veleva, Roumen Nedkov
Abstract: Five different methods are tested for estimating the aerosol optical depth using results from the Bulgarian Chemical Weather Forecast System. Four of the methods are embedded in the chemical transport model of the system; the fifth one (FlexAOD) is adapted from a post-processing tool, developed for global chemistry models. The results of the five approaches are discussed qualitatively, showing maps for AOD spatial distribution over Europe for a selected day. The performance of the code FlexAOD with results from BgCWFS is discussed for a period of four days in March 2018, characterized with Saharan Dust outbreak. The preliminary evaluation with AOD from the Copernicus based forecast system CMAS-ECMWF and with data from AERONET stations shows that BgCWFS underestimates AOD and suggest further developments of the system with assimilation of satellite derived data.
Keywords: AOD, Bulgarian Chemical Weather Forecast System
Total: 16 pages
Publications in the Proceedings of the Fifteenth International Scientific Conference Space, Ecology, Safety, SES 2019, (Print ISSN 2603-3313; Online ISSN 2603-3321)
Full texts are available on the web-site of the Conference:
1. Seasonal changes of aerosol pollutants over Bulgaria, with authors Maria Dimitrova, Plamen Trenchev, Emilia Georgieva, Nadya Neykova, Rozeta Neykova, Roumen Nedkov, Deyan Gochev, Dimiter Syrakov, Blagorodka Veleva, Dimiter Atanassov, Tatiana Spassova
Abstract: This work presents a study of the seasonal behavior of atmospheric pollutants over the territory of Bulgaria. Monthly average values of satellite and in situ data for the periods 2005-2018 and 2013-2018 were used.
Keywords: remote sensing, atmospheric pollution
Total: 12 pages
2. Identification of optimal satellite data for use in the air quality modeling system BgCWFS, with authors Maria Dimitrova, Roumen Nedkov, Dimiter Syrakov, Emilia Georgieva, Deyan Gochev, Plamen Trenchev, Blagorodka Veleva, Dimiter Atanassov, Tatiana Spassova, Ekaterina Batchvarova
Abstract: In this work we present an investigation of finding and processing an optimal satellite dataset for use in the Bulgarian Chemical Weather Forecast System (BgCWFS). The modeling system BgCWFS operates over five different nested domains with different spatial resolution and optimal satellite datasets for each of them are different. We show that data from MetOp satellites is optimal for use in one – Balkan - domains while Sentinel 5P data is better for two other ones.
Keywords: Remote sensing, atmospheric pollution
Total: 8 pages